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cs.LG2024
Modeling and Discovering Direct Causes for Predictive Models
Yizuo Chen, Amit Bhatia
We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). The framework enables us to identify features…
cs.AI2024
Constrained Identifiability of Causal Effects
Yizuo Chen, Adnan Darwiche
We study the identification of causal effects in the presence of different types of constraints (e.g., logical constraints) in addition to the causal graph. These constraints impos…
cs.AI2024
Identifying Causal Effects Under Functional Dependencies
Yizuo Chen, Adnan Darwiche
We study the identification of causal effects, motivated by two improvements to identifiability which can be attained if one knows that some variables in a causal graph are functio…